Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-08-02 10:25:45	ga_s2bm_ard_3-2-1_53JPG_2023-08-02_final.stac-item
2023-08-02 10:25:54	ga_s2bm_ard_3-2-1_53JQF_2023-08-02_final.stac-item
2023-08-02 10:26:23	ga_s2bm_ard_3-2-1_53HQD_2023-08-02_final.stac-item
2023-08-02 10:26:37	ga_s2bm_ard_3-2-1_53HQC_2023-08-02_final.stac-item
2023-08-02 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-08-02_final.stac-item
2023-08-02 12:03:31	ga_s2bm_ard_3-2-1_50KLC_2023-08-02_final.stac-item
2023-08-02 12:03:42	ga_s2bm_ard_3-2-1_50KMB_2023-08-02_final.stac-item
2023-08-02 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-08-02_final.stac-item
2023-08-02 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-08-02_final.stac-item
2023-08-02 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-02_final.stac-item
2023-08-02 12:03:57	ga_s2bm_ard_3-2-1_50KMA_2023-08-02_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2023-08-02_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final.stac-item
2023-08-02 12:04:11	ga_s2bm_ard_3-2-1_50KMV_2023-08-02_final.stac-item
2023-08-02 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-08-02_final.stac-item
2023-08-02 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-08-02_final.stac-item
2023-08-02 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2023-08-02_final.stac-item
2023-08-02 12:04:26	ga_s2bm_ard_3-2-1_50KMU_2023-08-02_final.stac-item
2023-08-02 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2023-08-02_final.stac-item
2023-08-02 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2023-08-02_final.stac-item
2023-08-02 12:04:34	ga_s2bm_ard_3-2-1_50KMU_2023-08-02_final.stac-item
2023-08-02 12:04:36	ga_s2bm_ard_3-2-1_50KLU_2023-08-02_final.stac-item
2023-08-02 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-08-02_final.stac-item
2023-08-02 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-08-02_final.stac-item
2023-08-02 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2023-08-02_final.stac-item
2023-08-02 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2023-08-02_final.stac-item
2023-08-02 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2023-08-02_final.stac-item
2023-08-02 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-08-02_final.stac-item
2023-08-02 12:04:59	ga_s2bm_ard_3-2-1_50JLS_2023-08-02_final.stac-item
2023-08-02 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2023-08-02_final.stac-item
2023-08-02 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2023-08-02_final.stac-item
2023-08-02 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-08-02_final.stac-item
2023-08-02 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2023-08-02_final.stac-item
2023-08-02 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-08-02_final.stac-item
2023-08-02 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-08-02_final.stac-item
2023-08-02 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-08-02_final.stac-item
2023-08-02 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-08-02_final.stac-item
2023-08-02 12:06:03	ga_s2bm_ard_3-2-1_49JGH_2023-08-02_final.stac-item
2023-08-02 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2023-08-02_final.stac-item
2023-08-02 12:06:19	ga_s2bm_ard_3-2-1_50JLL_2023-08-02_final.stac-item
2023-08-03 11:31:47	ga_s2bm_ard_3-2-1_51LXD_2023-08-03_final.stac-item
2023-08-03 11:32:27	ga_s2bm_ard_3-2-1_51KYA_2023-08-03_final.stac-item
2023-08-03 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2023-08-03_final.stac-item
2023-08-03 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-08-03_final.stac-item
2023-08-03 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2023-08-03_final.stac-item
2023-08-03 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2023-08-03_final.stac-item
2023-08-03 11:34:41	ga_s2bm_ard_3-2-1_50JRT_2023-08-03_final.stac-item
2023-08-03 11:34:51	ga_s2bm_ard_3-2-1_51JUM_2023-08-03_final.stac-item
2023-08-03 11:34:54	ga_s2bm_ard_3-2-1_50JRS_2023-08-03_final.stac-item
2023-08-03 11:35:17	ga_s2bm_ard_3-2-1_51JVK_2023-08-03_final.stac-item
2023-08-03 11:35:23	ga_s2bm_ard_3-2-1_51JTK_2023-08-03_final.stac-item
2023-08-03 11:35:24	ga_s2bm_ard_3-2-1_51JWJ_2023-08-03_final.stac-item
2023-08-03 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-08-03_final.stac-item
2023-08-03 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2023-08-03_final.stac-item
2023-08-03 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-08-03_final.stac-item
2023-08-03 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2023-08-03_final.stac-item
2023-08-03 11:36:33	ga_s2bm_ard_3-2-1_51HUE_2023-08-03_final.stac-item
2023-08-03 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-08-03_final.stac-item
2023-08-03 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-08-03_final.stac-item
2023-08-03 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-08-03_final.stac-item
2023-08-03 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-08-03_final.stac-item
2023-08-03 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2023-08-03_final.stac-item
2023-08-03 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-08-03_final.stac-item
2023-08-03 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2023-08-03_final.stac-item
2023-08-03 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-08-03_final.stac-item
2023-08-03 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-03_final.stac-item
2023-08-12 12:00:46	ga_s2bm_ard_3-2-1_50LNP_2023-08-12_nrt.stac-item
2023-08-12 12:00:50	ga_s2bm_ard_3-2-1_50LMP_2023-08-12_nrt.stac-item
2023-08-12 12:01:00	ga_s2bm_ard_3-2-1_50LNN_2023-08-12_nrt.stac-item
2023-08-12 12:01:03	ga_s2bm_ard_3-2-1_50LMN_2023-08-12_nrt.stac-item
2023-08-12 12:01:11	ga_s2bm_ard_3-2-1_50LPM_2023-08-12_nrt.stac-item
2023-08-12 12:01:15	ga_s2bm_ard_3-2-1_50LNM_2023-08-12_nrt.stac-item
2023-08-12 12:01:18	ga_s2bm_ard_3-2-1_50LMM_2023-08-12_nrt.stac-item
2023-08-12 12:01:26	ga_s2bm_ard_3-2-1_50LPL_2023-08-12_nrt.stac-item
2023-08-12 12:01:29	ga_s2bm_ard_3-2-1_50LNL_2023-08-12_nrt.stac-item
2023-08-12 12:01:32	ga_s2bm_ard_3-2-1_50LML_2023-08-12_nrt.stac-item
2023-08-12 12:01:38	ga_s2bm_ard_3-2-1_50LPK_2023-08-12_nrt.stac-item
2023-08-12 12:01:40	ga_s2bm_ard_3-2-1_50LNK_2023-08-12_nrt.stac-item
2023-08-12 12:01:42	ga_s2bm_ard_3-2-1_50LMK_2023-08-12_nrt.stac-item
2023-08-12 12:03:01	ga_s2bm_ard_3-2-1_50KNE_2023-08-12_nrt.stac-item
2023-08-12 12:03:02	ga_s2bm_ard_3-2-1_50KME_2023-08-12_nrt.stac-item
2023-08-12 12:03:04	ga_s2bm_ard_3-2-1_50KLE_2023-08-12_nrt.stac-item
2023-08-12 12:03:07	ga_s2bm_ard_3-2-1_50KKE_2023-08-12_nrt.stac-item
2023-08-12 12:03:11	ga_s2bm_ard_3-2-1_50KND_2023-08-12_nrt.stac-item
2023-08-12 12:03:14	ga_s2bm_ard_3-2-1_50KMD_2023-08-12_nrt.stac-item
2023-08-12 12:03:17	ga_s2bm_ard_3-2-1_50KLD_2023-08-12_nrt.stac-item
2023-08-12 12:03:20	ga_s2bm_ard_3-2-1_50KKD_2023-08-12_nrt.stac-item
2023-08-12 12:03:23	ga_s2bm_ard_3-2-1_49KHU_2023-08-12_nrt.stac-item
2023-08-12 12:03:35	ga_s2bm_ard_3-2-1_50KKC_2023-08-12_nrt.stac-item
2023-08-12 12:03:35	ga_s2bm_ard_3-2-1_49KHT_2023-08-12_nrt.stac-item
2023-08-12 12:05:25	ga_s2bm_ard_3-2-1_49JFL_2023-08-12_nrt.stac-item
2023-08-12 12:05:38	ga_s2bm_ard_3-2-1_49JFK_2023-08-12_nrt.stac-item
2023-08-12 12:05:53	ga_s2bm_ard_3-2-1_49JFJ_2023-08-12_nrt.stac-item
2023-08-12 12:06:08	ga_s2bm_ard_3-2-1_49JFH_2023-08-12_nrt.stac-item
2023-08-12 12:06:18	ga_s2bm_ard_3-2-1_49JGG_2023-08-12_nrt.stac-item
2023-08-12 12:06:22	ga_s2bm_ard_3-2-1_49JFG_2023-08-12_nrt.stac-item
2023-08-12 12:06:27	ga_s2bm_ard_3-2-1_50JKL_2023-08-12_nrt.stac-item
2023-08-12 12:06:28	ga_s2bm_ard_3-2-1_49JGF_2023-08-12_nrt.stac-item
2023-08-12 12:06:30	ga_s2bm_ard_3-2-1_49JFF_2023-08-12_nrt.stac-item
2023-08-13 11:37:36	ga_s2bm_ard_3-2-1_50HPF_2023-08-13_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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